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| Enhancing Supervised Visualization through Autoencoder and Random Forest Proximities for Out-of-Sample Extension | Jun 6, 2024 | Dimensionality ReductionSupervised dimensionality reduction | —Unverified | 0 |
| Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning | Dec 1, 2012 | Dimensionality ReductionMetric Learning | —Unverified | 0 |
| Convergence rates of Kernel Conjugate Gradient for random design regression | Jul 8, 2016 | Dimensionality Reductionregression | —Unverified | 0 |
| Foundations of Coupled Nonlinear Dimensionality Reduction | Sep 29, 2015 | Dimensionality ReductionGeneralization Bounds | —Unverified | 0 |
| A Convex formulation for linear discriminant analysis | Mar 17, 2025 | Dimensionality ReductionSupervised dimensionality reduction | —Unverified | 0 |
| Extending classical surrogate modelling to high-dimensions through supervised dimensionality reduction: a data-driven approach | Dec 15, 2018 | Dimensionality ReductionSupervised dimensionality reduction | —Unverified | 0 |
| Entangled Kernels -- Beyond Separability | Jan 14, 2021 | Dimensionality ReductionSupervised dimensionality reduction | —Unverified | 0 |
